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He will develop advanced topic modeling methods that can quickly and effectively analyze text responses in COVID-19 survey data.

The web application is being developed by a team led by Distinguished University Professor of Computer Science Hanan Samet.

The fellowship will support doctoral student Alex Hanson’s research in advancing artificial neural networks.

QuICS Fellow Carl Miller uses math and quantum physics to explore “fairness” in coin flipping.

During the COVID-19 crisis, UMIACS researchers are using online resources to advance research in robotics, computational biology, cybersecurity, and more.

He is one of 10 UMD faculty chosen to receive this honor in 2020.

Aravind Srinivasan, Rita Colwell and Abhinav Bhatele are deploying the latest advances in artificial intelligence, machine learning, supercomputing and social science data against epidemic outbreaks.

The funding supports joint projects between faculty from the University of Maryland, College Park, and medical experts at the University of Maryland, Baltimore.

The goal of Shrivastava’s research is to teach AI systems how to recognize dynamic environments and react appropriately, without needing to be retrained on a large data set.

The award-winning paper, which was co-authored by Abhinav Shrivastava, explores the concept of object localization for egocentric vision.